Mapping Forest Growing Stem Volume Using Novel Feature Evaluation Criteria Based on Spectral Saturation in Planted Chinese Fir Forest

Mapping Forest Growing Stem Volume Using Novel Feature Evaluation Criteria Based on Spectral Saturation in Planted Chinese Fir Forest

Forest growing stem volume (GSV) is regarded as one of the most important parameters for the quality evaluation and dynamic monitoring of forest resources. The accuracy of mapping forest GSV is highly related to the employed models and involved remote sensing features, and the criteria of feature ev...

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Bibliographic Details
Main Authors: Hui Lin, Wanguo Zhao, Jiangping Long, Zhaohua Liu, Peisong Yang, Tingchen Zhang, Zilin Ye, Qingyang Wang, Hamid Reza Matinfar
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
forest growing stem volume
spectral saturation
feature evaluation criterion
kriging spherical model
quadratic model
Online Access:https://www.mdpi.com/2072-4292/15/2/402

Internet

https://www.mdpi.com/2072-4292/15/2/402

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